Tag: Antje Barth

This post is part of our Week in Review series. Check back each week for a quick roundup of interesting news and announcements from AWS! Here we are with another roundup of the most significant AWS launches from the previous week. Among the news, we have a new deployment option for Amazon FSx for NetApp ONTAP, performance and scaling improvements done in AWS Fargate, and an update on the AWS AI & ML Scholarship program. Last Week’s Launches Here are some launches that caught my attention last week: Amazon FSx for NetApp ONTAP introduces a single Availability Zone (AZ) deployment option – Amazon FSx for NetApp ONTAP allows you to launch and run fully managed ONTAP file systems in the…

As a woman working in information technology (IT) for many years, it has always been close to my heart to challenge long-standing gender stereotypes and inspire more young learners to consider a career in tech. With artificial intelligence (AI) and machine learning (ML) defining the future of technology, this future also depends on diverse representation. The World Economic Forum estimates that technological advances and automation will create 97 million new technology jobs by 2025, including in the field of AI and ML. Yet, according to their research, women make up just 32% of AI jobs globally. The Pew Research Center found that Black and Hispanic workers in the U.S. comprise just 9% and 8% of workers in the science, technology,…

Our mission at AWS is to make machine learning (ML) more accessible. Through many conversations over the past years, I learned about barriers that many ML beginners face. Existing ML environments are often too complex for beginners, or too limited to support modern ML experimentation. Beginners want to quickly start learning and not worry about spinning up infrastructure, configuring services, or implementing billing alarms to avoid going over budget. This emphasizes another barrier for many people: the need to provide billing and credit card information at sign-up. What if you could have a predictable and controlled environment for hosting your Jupyter notebooks in which you can’t accidentally run up a big bill? One that doesn’t require billing and credit card…